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NIPS
2004
13 years 8 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
ECCV
2008
Springer
13 years 9 months ago
Active Matching
Abstract. In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative i...
Margarita Chli, Andrew J. Davison
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
14 years 2 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of efï...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
DATE
2002
IEEE
100views Hardware» more  DATE 2002»
14 years 12 days ago
AccuPower: An Accurate Power Estimation Tool for Superscalar Microprocessors
This paper describes the AccuPower toolset -- a set of simulation tools accurately estimating the power dissipation within a superscalar microprocessor. AccuPower uses a true hard...
Dmitry Ponomarev, Gurhan Kucuk, Kanad Ghose
NIPS
2007
13 years 8 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...